Transforming microbiome insights into practical benefits for patients using AI/ML.
Targeting the microbiome to reduce persistent symptoms after treating inflammation in inflammatory bowel disease
Identify inflammatory bowel disease patients with quiescent disease sutiable for de-escalation of therapy
Identify pregnancies at risk for preterm birth using AI/ML models trained on microbiome data
Accurate quantification of protein-coding sequences from short read ‘shotgun’ metagenomic data via addressing …
A python implementation of beta-binomial modeling for count-based data, inspired by the R corncob library.
Create biologically-meaningful taxonomy-free compositional features from technically diverse 16S rRNA gene based microbiome data
Obtain and curate full-length 16S rRNA alleles from NCBI
A reference-free gene oriented WGS analysis workflow
A workflow to harmonize technically diverse 16S rRNA based microbiome data